Intrinsic and Effective Severity of Coronavirus Disease 2019 Cases Infected With the Ancestral Strain and Omicron BA.2 Variant in Hong Kong

© The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com..

BACKGROUND: Understanding severity of infections with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and its variants is crucial to inform public health measures. Here we used coronavirus disease 2019 (COVID-19) patient data from Hong Kong to characterize the severity profile of COVID-19.

METHODS: Time-varying and age-specific effective severity measured by case hospitalization risk and hospitalization fatality risk was estimated with all individual COVID-19 case data collected in Hong Kong from 23 January 2020 through 26 October 2022 over 6 epidemic waves. The intrinsic severity of Omicron BA.2 was compared with the estimate for the ancestral strain with the data from unvaccinated patients without previous infections.

RESULTS: With 32 222 COVID-19 hospitalizations and 9669 deaths confirmed over 6 epidemic waves, the time-varying hospitalization fatality risk dramatically increased from <10% before the largest fifth wave of Omicron BA.2 to 41% during the peak of the fifth wave when hospital resources were severely constrained. The age-specific fatality risk in unvaccinated hospitalized Omicron cases was comparable to the estimates for unvaccinated cases with the ancestral strain. During epidemics predominated by Omicron BA.2, fatality risk was highest among older unvaccinated patients.

CONCLUSIONS: Omicron has comparable intrinsic severity to the ancestral Wuhan strain, although the effective severity is substantially lower in Omicron cases due to vaccination.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:228

Enthalten in:

The Journal of infectious diseases - 228(2023), 9 vom: 02. Nov., Seite 1231-1239

Sprache:

Englisch

Beteiligte Personen:

Wong, Jessica Y [VerfasserIn]
Cheung, Justin K [VerfasserIn]
Lin, Yun [VerfasserIn]
Bond, Helen S [VerfasserIn]
Lau, Eric H Y [VerfasserIn]
Ip, Dennis K M [VerfasserIn]
Cowling, Benjamin J [VerfasserIn]
Wu, Peng [VerfasserIn]

Links:

Volltext

Themen:

COVID-19
Intrinsic
Journal Article
Omicron
Research Support, Non-U.S. Gov't
SARS-CoV-2
Severity

Anmerkungen:

Date Completed 09.11.2023

Date Revised 14.11.2023

published: Print

Citation Status MEDLINE

doi:

10.1093/infdis/jiad236

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM358695759